{"id":"W4414580166","doi":"10.1021/acs.est.5c06876","title":"Nontarget and Suspect Screening of Fluorinated Ionic Liquids and PFAS in European Wastewaters Using Supercritical Fluid Chromatography","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; HORIZON EUROPE Framework Programme; Universität Innsbruck; Université du Luxembourg; Medizinische Universität Innsbruck; Sveriges Lantbruksuniversitet; Fonds Wetenschappelijk Onderzoek; Directorate for Biological Sciences; Universiteit Antwerpen; Eidgenössische Technische Hochschule Zürich; Istituto di Ricerche Farmacologiche Mario Negri - IRCCS; University of Bath; Vlaamse regering; European Commission; Helmholtz-Zentrum für Umweltforschung","keywords":"Ionic liquid; Effluent; Wastewater; Supercritical fluid; Supercritical fluid chromatography; Supercritical fluid extraction; Mass spectrometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001321623,0.0007365591,0.0003885953,0.001889236,0.000279249,0.0009579947,0.0003309074,0.0007802307,0.0005299812],"category_scores_gemma":[0.001185082,0.0002325181,0.0004916162,0.001049246,0.0006187417,0.0003942887,0.000575706,0.0001726387,0.0002271542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259562,"about_ca_system_score_gemma":0.0005265694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004240322,"about_ca_topic_score_gemma":0.0045238,"domain_scores_codex":[0.9981831,0.0003180034,0.0001907593,0.000379372,0.0007843069,0.000144449],"domain_scores_gemma":[0.9993178,0.000148561,0.0001926558,0.0000436314,0.0002624966,0.00003502259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004833511,0.00006886528,0.07874079,0.0002678808,0.0001420448,0.0003409474,0.0002999488,0.0009082666,0.8865877,0.0001047834,0.000130328,0.0319252],"study_design_scores_gemma":[0.00002429026,0.0005870064,0.190606,0.00004155801,0.0001454425,0.0008908527,0.0004919988,0.002227096,0.8012222,0.00009885028,0.003630383,0.00003433456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941881,0.0008930871,0.00306416,0.00002926393,0.000008418252,0.00002988124,0.0004315081,0.00006852477,0.001287129],"genre_scores_gemma":[0.9930277,0.000651788,0.003970489,0.00007016067,0.00000555778,0.00002671729,0.000765188,0.00001976038,0.001462508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004240322,"threshold_uncertainty_score":0.008431315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00665536758708138,"score_gpt":0.2452286118535465,"score_spread":0.2385732442664651,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}